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12 September 2003 Microlocal high-range-resolution ISAR for low signal-to-noise environments
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We consider the problem of identification of airborne objects from high-range-resolution radar data. We use high-frequency asymptotics to show that certain features of the object-correspond to identifiable features of the radar data. We study the cases of single scattering and scattering from re-entrant structures such as ducts. This work suggests a method for target identification that circumvents the need to create an intermediate radar image from which the object's characteristics are to be extracted. As such, this scheme may be applicable to efficient machine-based radar identification programs.
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Margaret Cheney and Brett H. Borden "Microlocal high-range-resolution ISAR for low signal-to-noise environments", Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003);

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